Journal
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
Volume 64, Issue 2, Pages 935-947Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2016.2625238
Keywords
AC-DC power conversion; dc-ac power conversion; power electronics; predictive control
Categories
Funding
- Ministerio Espanol de Economia y Competitividad [TEC2016-78430-R]
- Consejeria de Innovacion Ciencia y Empresa (Junta de Andalucia) [P11-TIC-7070]
- Advanced Center for Electrical and Electronic Engineering, AC3E, Basal [FB0008]
- La Comision Nacional de Investigacion Cientifica y Tecnologica
- Fondo Nacional de Desarrollo Cientifico y Tecnologico Regular [1160690]
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Model predictive control (MPC) is a very attractive solution for controlling power electronic converters. The aim of this paper is to present and discuss the latest developments in MPC for power converters and drives, describing the current state of this control strategy and analyzing the new trends and challenges it presents when applied to power electronic systems. The paper revisits the operating principle of MPC and identifies three key elements in the MPC strategies, namely the prediction model, the cost function, and the optimization algorithm. This paper summarizes the most recent research concerning these elements, providing details about the different solutions proposed by the academic and industrial communities.
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